The tenth annual conference of the MidSouth Computational Biology and Bioinformatics Society (MCBIOS 2013), "The 10th Anniversary in a Decade of Change: Discovery in a Sea of Data", took place at the Stoney Creek Inn & Conference Center in Columbia, Missouri on April 5-6, 2013. This year's Conference Chairs were Gordon Springer and Chi-Ren Shyu from the University of Missouri and Edward Perkins from the US Army Corps of Engineers Engineering Research and Development Center, who is also the current MCBIOS President (2012-3). There were 151 registrants and a total of 111 abstracts (51 oral presentations and 60 poster session abstracts).
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http://dx.doi.org/10.1186/1471-2105-14-S14-S1 | DOI Listing |
Front Bioinform
August 2024
Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, United States.
Brain Circ
June 2024
Department of Neurology, University of Tennessee Health Sciences Center, Memphis, TN, USA.
Introduction: Diabetes and hyperglycemia are major risk factors that can increase infarction volume and contribute to poor functional status. Our study aim was to investigate the effect of stress hyperglycemia on various safety and efficacy outcomes in patients with large vessel occlusions (LVOs) undergoing mechanical thrombectomy (MT) with or without diabetes.
Methods: A retrospective analysis of consecutive LVO patient data treated with MT at a Comprehensive Stroke Center in the Mid-South was conducted.
Sci Rep
February 2024
MidSouth Bioinformatics Center and Joint Bioinformatics Graduate Program, University of Arkansas at Little Rock, University of Arkansas for Medical Sciences, Little Rock, 72204, AR, USA.
The advent of single-cell RNA sequencing (scRNA-seq) technology has revolutionized our ability to explore cellular diversity and unravel the complexities of intricate diseases. However, due to the inherently low signal-to-noise ratio and the presence of an excessive number of missing values, scRNA-seq data analysis encounters unique challenges. Here, we present cnnImpute, a novel convolutional neural network (CNN) based method designed to address the issue of missing data in scRNA-seq.
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January 2024
Biology Department, University of Dallas, Irving, TX, United States.
No-boundary thinking enables the scientific community to reflect in a thoughtful manner and discover new opportunities, create innovative solutions, and break through barriers that might have otherwise constrained their progress. This concept encourages thinking without being confined by traditional rules, limitations, or established norms, and a mindset that is not limited by previous work, leading to fresh perspectives and innovative outcomes. So, where do we see the field of artificial intelligence (AI) in bioinformatics going in the next 30 years? That was the theme of a "No-Boundary Thinking" Session as part of the Mid-South Computational Bioinformatics Society's (MCBIOS) 19th annual meeting in Irving, Texas.
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